Basal-like mammary carcinomas stimulate cancer stem cell properties through AXL-signaling to induce chemotherapy resistance.
Garyfallia Pantelaiou-ProkakiOliver ReinhardtNadine S GeorgesDavid J AgorkuOlaf HardtEvangelos ProkakisIga K MieczkowskaWolfgang DeppertFlorian WegwitzFrauke AlvesPublished in: International journal of cancer (2023)
Basal-like breast cancer (BLBC) is the most aggressive and heterogeneous breast cancer (BC) subtype. Conventional chemotherapies represent next to surgery the most frequently employed treatment options. Unfortunately, resistant tumor phenotypes often develop, resulting in therapeutic failure. To identify the early events occurring upon the first drug application and initiating chemotherapy resistance in BLBC, we leveraged the WAP-T syngeneic mammary carcinoma mouse model and we developed a strategy combining magnetic-activated cell sorting (MACS)-based tumor cell enrichment with high-throughput transcriptome analyses. We discovered that chemotherapy-induced a massive gene expression reprogramming towards stemness acquisition to tolerate and survive the cytotoxic treatment in vitro and in vivo. Re-transplantation experiments revealed that one single cycle of cytotoxic drug combination therapy (Cyclophosphamide, Adriamycin, 5-Fluorouracil) suffices to induce resistant tumor cell phenotypes in vivo. We identified Axl and its ligand Pros1 as highly induced genes driving cancer stem cell (CSC) properties upon chemotherapy in vivo and in vitro. Furthermore, from our analysis of BLBC patient datasets, we found that AXL expression is also strongly correlated with CSC-gene signatures, a poor response to conventional therapies and worse survival outcomes in those patients. Finally, we demonstrate that AXL inhibition sensitized BLBC-cells to cytotoxic treatment in vitro. Together, our data support AXL as a promising therapeutic target to optimize the efficiency of conventional cytotoxic therapies in BLBC. This article is protected by copyright. All rights reserved.
Keyphrases
- single cell
- cancer stem cells
- combination therapy
- tyrosine kinase
- gene expression
- chemotherapy induced
- rna seq
- genome wide
- cell therapy
- high throughput
- mouse model
- stem cells
- induced apoptosis
- poor prognosis
- locally advanced
- chronic kidney disease
- end stage renal disease
- low dose
- drug induced
- radiation therapy
- high dose
- dna methylation
- case report
- ejection fraction
- emergency department
- high glucose
- oxidative stress
- copy number
- machine learning
- big data
- cell proliferation
- high grade
- long non coding rna
- acute coronary syndrome
- coronary artery bypass
- cell death
- cell cycle arrest
- genome wide identification
- endoplasmic reticulum stress
- adverse drug
- atrial fibrillation
- deep learning
- diabetic rats
- endothelial cells
- prognostic factors